Design Gaga Automation System

A comprehensive automation system for Design Gaga's business operations, including real estate lead generation, customer outreach, and task management.

Features

• Real estate listing monitoring
• Agent lead generation
• Automated cold calling
• Email outreach campaigns
• Social media management
• Task tracking via Asana
• Google My Business optimization

Prerequisites

• Python 3.10 or higher
• Chrome/Chromium (for web automation)
• Google Cloud Platform account (for Google My Business)
• Asana account
• OpenAI API key
• Twilio account (optional, for voice calls)

Installation

1. Clone the repository:

   git clone https://github.com/designgaga/automation.git
   cd automation

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up configuration:

   cp config/default_config.json.example config/default_config.json
   # Edit config/default_config.json with your settings

5. Set up environment variables:

   cp .env.example .env
   # Edit .env with your API keys and credentials

Configuration

The system uses a hierarchical configuration system with the following precedence:

1. Environment variables
2. Configuration file (config/default_config.json)
3. Default values

Required Configuration

• Company details in config/default_config.json:

  {
    "company": {
      "name": "Your Company",
      "website": "https://example.com",
      "phone": "+1234567890",
      "business_type": "design",
      "location": "City"
    }
  }

• API credentials in .env:

  OPENAI_API_KEY=your_openai_key
  ASANA_ACCESS_TOKEN=your_asana_token
  ASANA_WORKSPACE_GID=your_workspace_id
  TWILIO_ACCOUNT_SID=your_twilio_sid
  TWILIO_AUTH_TOKEN=your_twilio_token

Usage

1. Start the main automation system:

   python main.py

2. Run specific tasks:

   python run_agents.py  # Run agent discovery
   python social_media_manager.py  # Run social media tasks
   python task_executor.py  # Run scheduled tasks

3. Monitor the system:

   tail -f logs/business_generator.log  # View business generator logs
   tail -f logs/task_executor.log  # View task executor logs

Project Structure

.
├── config/                 # Configuration files
├── templates/             # Email and message templates
├── logs/                  # Log files
├── data/                  # Data storage
├── models/               # AI model files
├── tests/                # Test files
├── utils/                # Utility functions
├── main.py              # Main entry point
├── business_generator.py # Business generation logic
├── task_executor.py     # Task execution and scheduling
├── config_manager.py    # Configuration management
└── requirements.txt     # Python dependencies

Testing

Run the test suite:

python -m pytest tests/ -v

Run specific test files:

python -m pytest test_business_system.py -v
python -m pytest test_content_creation.py -v

Logging

The system uses JSON-formatted logging with the following log files:

• logs/business_generator.log: Business generation activities
• logs/task_executor.log: Task execution and scheduling
• logs/asana_manager.log: Asana integration
• logs/social_media.log: Social media activities

Optional Features

The system supports several optional features that can be enabled in the configuration:

1. Voice Commands:

   "features": {
     "voice_commands": {
       "enabled": true,
       "language": "en-US"
     }
   }

2. Web Automation:

   "features": {
     "web_automation": {
       "enabled": true,
       "headless": true
     }
   }

3. Google Integration:

   "features": {
     "google_integration": {
       "enabled": true,
       "auto_post": true
     }
   }

Error Handling

The system implements comprehensive error handling:

• Automatic retries for API calls
• Rate limiting for external services
• Fallback behaviors for missing dependencies
• Detailed error logging

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run the test suite
5. Submit a pull request

License

MIT License - see LICENSE file for details

Support

For support, contact:

• Email: support@designgaga.com
• Website: https://designgaga.com/support